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I will develop a multi agent ai system with langchain and openai
Mustaqeez Ahmad
About this gig
Production-ready multi agent AI systems built with LangChain, OpenAI, CrewAI, and RAG.
I develop custom AI agents to automate business workflows, customer support, and internal operations. You get a scalable multi-agent architecture with tool integrations, data retrieval, deployment, logging, output validation, and documentation. Each system is designed for reliability, maintainability, and future scaling.
What you get:
- Custom multi agent AI system tailored to your use case
- Built with LangChain, OpenAI (GPT-4/GPT-4o/o1), LangGraph, CrewAI
- RAG over your data (Postgres + pgvector, Pinecone, Weaviate)
- Tool integrations (CRM, email, calendar, APIs)
- Security guardrails (input/output validation, tool access control)
- Deployment to your infrastructure (Vercel, AWS, Railway, VPS)
- Source code + documentation (you own everything)
Why me:
- 10+ years software engineering experience
- Built ConciergeAI (hotel voice agent now live in production)
- Production AI systems builder
- Cybersecurity-focused development
- 5.0 rating, 40+ completed orders
Message me on Fiverr Before Ordering with your use case, data sources, tools, users, deployment target, and budget. I'll recommend the right architecture or
Get to know Mustaqeez Ahmad
Mustaqeez Ahmad
I'm an expert in generative AI mobile app and web SaaS development
- FromPakistan
- Member sinceJun 2016
- Last delivery1 year
Languages
Urdu, English
I have a Masters's degree in Computer Science and 10 years plus experience in development. I'm CEO at Software & Technology Company "CodeDeskStudio" and managing a small team. We specialize in AI SaaS development.
As a team, we have good UI UX design skills to make top-level apps UI.
My Portfolio
FAQ
Q: What is a multi-agent AI system vs a chatbot?
A chatbot has one AI answering queries. A multi-agent system uses multiple specialized agents that collaborate – each can call tools, retrieve data, and chain tasks. Built with LangChain and OpenAI, multi-agent architectures can handle complex, multi-step workflows that a single agent can’t.
Q: Why use LangChain and OpenAI?
LangChain is a proven framework for agents with memory, tools, and retrieval. OpenAI’s GPT-4 (and o1) models provide the most advanced reasoning and reliability for agents. Together they form an industry-standard stack for production AI agents.
Q: Why add “security guardrails”?
If your agents call tools (CRM, email, APIs), malicious input can cause data leaks or unwanted actions. I add input validation, limit tool permissions, filter outputs, and log actions to prevent prompt injection or unauthorized access. This protects your data and users.
Q: What is RAG and do I need it?
RAG (Retrieval-Augmented Generation) means the agents search your own documents or knowledge base before answering. If your AI needs to know about private or up-to-date info (docs, support tickets, etc.), you need RAG. Most business AI systems benefit from RAG.
Q: Will my data be safe?
Yes. Your data stays on your side. I deploy to your account (Vercel, AWS, Railway, etc.). I’m happy to sign your NDA. After delivery, all your test data is deleted.
Q: Can you integrate with [my tool]?
Almost certainly. I’ve integrated with HubSpot, Salesforce, Slack, Discord, WhatsApp, Gmail, Calendly, Stripe, Shopify, Notion, Airtable, custom APIs/webhooks, and more. Just list your tools.
Q: Can I use other agent frameworks besides LangChain?
Yes. I also work with CrewAI, LangGraph, AutoGen, OpenAI Assistants API, n8n, VAPI (voice), or custom FastAPI agents. Tell me your preference or I can recommend the best fit.
Q: Do I own the code?
Absolutely – you receive the full source code and docs, with unlimited usage rights. You can modify and extend the system freely after delivery.
